Extension of simple recommendation model

dc.contributor	Graduate Program in Computer Engineering.
dc.contributor.advisor	Bingöl, Haluk.
dc.contributor.author	Çiftçi, Sedat.
dc.date.accessioned	2023-03-16T09:59:44Z
dc.date.available	2023-03-16T09:59:44Z
dc.date.issued	2008.
dc.description.abstract	In Simple Recommendation Model (SRM), the effect of memory size on fame with respect to the population size is analyzed. Agents of SRM may learn new agents and may forget some of the agents that they know as a result of recommendations. During recommendations, the agent who will make recommendation, the agent to whom recommendation is made, the agent that will be recommended and the agent that will be forgotten are selected. These selections are random in SRM. T he population size is constant in SRM. In this thesis, SRM is extended b y chang ing the selection method of agents. Also, dynamic population size is introduced. Each extension is simulated and the effect of each extension is analyzed by comparing the simulation results with the results of SRM.
dc.format.extent	30cm.
dc.format.pages	xiii, 62 leaves;
dc.identifier.other	CMPE 2008 C54
dc.identifier.uri	https://digitalarchive.library.bogazici.edu.tr/handle/123456789/12102
dc.publisher	Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008.
dc.relation	Includes appendices.
dc.relation	Includes appendices.
dc.subject.lcsh	Recommender systems (Information filtering)
dc.title	Extension of simple recommendation model

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